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Filippo Bigi

2 accepted papers

2025

FlashMD: long-stride, universal prediction of molecular dynamics

NeurIPS 2025spotlight

Molecular dynamics (MD) provides insights into atomic-scale processes by integrating over time the equations that describe the motion of atoms under the action of interatomic forces. Machine learning models have substantially accelerated MD by providing inexpensive predictions of the forces, but the…

Cited by 0SourcecodeScholar
2025

The dark side of the forces: assessing non-conservative force models for atomistic machine learning

ICML 2025oral

The use of machine learning to estimate the energy of a group of atoms, and the forces that drive them to more stable configurations, have revolutionized the fields of computational chemistry and materials discovery. In this domain, rigorous enforcement of symmetry and conservation laws has traditio…

Cited by 9SourcePDFScholar